Adaptive P&O MPPT for Wind Energy Conversion System Based 1.5 MW DFIG

被引：0

作者：

Abdou, Essam. H. ^{[1
]}

Youssef, Abdel-Raheem ^{[2
]}

Kamel, Salah ^{[1
]}

机构：

[1] Aswan Univ, Dept Elect Engn, Fac Engn, Aswan, Egypt

[2] South Valley Univ, Dept Elect Engn, Fac Engn, Qena, Egypt

来源：

2019 IEEE CONFERENCE ON POWER ELECTRONICS AND RENEWABLE ENERGY (IEEE CPERE) | 2019年

关键词：

DFIG; MPPT; TSR; RSC; GSC; P&O; POWER POINT TRACKING; ALGORITHM;

D O I：

10.1109/cpere45374.2019.8980154

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

This paper proposed Sensorless perturbation and observation P&O maximum power extraction control strategy for a variable speed wind energy conversion system (WECS) based on 1.5 MW DFIG. In this study, the DFIG connected with grid directly through stator and through back to back BTBC converters. the proposed P&O defeat the demerits of the conventional P&O. as uses variable step instead of fixed step. the proposed depend two curves intersected together, the P-w curve and generated curve producing 4secors. for the two sectors near MPP a small step will apply otherwise a large step will be used for far sectors. The suggested method has been applied over a large scale WECS using MATLAB/SIMULINK. The results demonstrate that the suggested P&O has high performance and enhance the overall system efficiency contrariwise to traditional P&O techniques

引用

页码：57 / 62

页数：6

共 50 条

[31] An Enhanced Adaptive P&O MPPT for Fast and Efficient Tracking Under Varying Environmental Conditions [J].

Ahmed, Jubaer ;

Salam, Zainal .

IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2018, 9 (03) :1487-1496

[32] Perturbation estimation based robust state feedback control for grid connected DFIG wind energy conversion system [J].

Yang, Bo ;

Hu, Yilin ;

Huang, Haiyan ;

Shu, Hongchun ;

Yu, Tao ;

Jiang, Lin .

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2017, 42 (33) :20994-21005

[33] Implementation of modified P&O and an adaptive fuzzy logic controller based MPPT tracking system under partial shading and variable environmental conditions [J].

Eshete, Firdos Ahmed ;

Samajdar, Dip Prakash ;

Kumar, Anil .

PHYSICA SCRIPTA, 2024, 99 (06)

[34] Modified P&O MPPT algorithm for optimal power extraction of five-phase PMSG based wind generation system [J].

Mousa, Hossam H. H. ;

Youssef, Abdel-Raheem ;

Mohamed, Essam E. M. .

SN APPLIED SCIENCES, 2019, 1 (08)

[35] Voltage Profile Improvement of a Micro Grid System using a DFIG Based Wind Energy Conversion System [J].

Pati, Swagat ;

Mohanty, Kanungo Barada ;

Kar, S. K. ;

Dash, Smruti Soumya .

2014 IEEE INTERNATIONAL CONFERENCE ON POWER ELECTRONICS, DRIVES AND ENERGY SYSTEMS (PEDES), 2014,

[36] Modified P&O MPPT algorithm for optimal power extraction of five-phase PMSG based wind generation system [J].

Hossam H. H. Mousa ;

Abdel-Raheem Youssef ;

Essam E. M. Mohamed .

SN Applied Sciences, 2019, 1

[37] Improved PO MPPT for Grid Connected Wind Energy Conversion System [J].

Radwan, Eman ;

Kamel, Salah ;

Nasrat, Loai ;

Youssef, Abdel-Raheem .

2023 IEEE CONFERENCE ON POWER ELECTRONICS AND RENEWABLE ENERGY, CPERE, 2023,

[38] Control Strategies for DFIG Based Grid Connected Wind Energy Conversion System [J].

Archna, Aggarwal ;

Mohan, Saini Lalit ;

Bhim, Singh .

INTERNATIONAL JOURNAL OF GRID AND DISTRIBUTED COMPUTING, 2014, 7 (03) :49-60

[39] Comparison between a 2.5 MW DFIG and CDFIG in Wind Energy Conversion Systems [J].

Dehnavifard, H. ;

Hu, X. M. ;

Khan, M. A. ;

Barendse, P. S. .

2016 XXII INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES (ICEM), 2016, :238-244

[40] Internal Model Control of DFIG Based Micro Wind Energy Conversion System [J].

Bose, Sourav ;

Singh, S. P. .

2019 19TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS 2019), 2019, :435-440

← 1 2 3 4 5 →